Forward Deployed AI Engineer

About the role

You’ll work directly with enterprise customers to deliver custom, production-ready AI solutions that solve real-world problems. You’ll lead the design and deployment of intelligent agents across customer workflows—owning everything from discovery and prototyping to configuration, testing, and launch.

Responsibilities

• Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows
• Integrate IFS Loops platform with customer systems
• Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)
• Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption
• Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap
• Document technical decisions and hand off stable deployments to customer engineering or support teams

Requirements

• 2–5 years of experience in a software engineering, solutions engineering, or ML deployment role
• Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)
• Familiarity with building LLM applications, RAG systems, or conversational AI workflows
• Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)
• Ability to translate business problems into technical solutions—and deliver them fast
• Strong interpersonal skills; you’re just as comfortable on a whiteboard with a customer as you are in code
• Bias toward action, ownership, and continuous learning in dynamic environments

Qualifications

• What We're Looking For

What We’re Looking For

• 2–5 years of experience in a software engineering, solutions engineering, or ML deployment role
• Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)
• Familiarity with building LLM applications, RAG systems, or conversational AI workflows
• Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)
• Ability to translate business problems into technical solutions—and deliver them fast
• Strong interpersonal skills; you’re just as comfortable on a whiteboard with a customer as you are in code
• Bias toward action, ownership, and continuous learning in dynamic environments

Nice to Have

• Background in SaaS, customer experience, support operations, or manufacturing systems
• Experience deploying AI in mission-critical environments
• Prior work with enterprise AI platforms or multi-agent orchestration

Benefits

• Salary Range: $150,000 - $170,000 annually + bonus
• Flexible paid time off, including sick and holiday
• MEDICAL, DENTAL, & VISION INSURANCE
• 401K with Company contribution
• FLAT SPENDING ACCOUNTS
• LIFE INSURANCE AND DISABILITY BENEFITS
• TUITION ASSISTANCE
• COMMUNITY INVOLVEMENT AND VOLUNTEERING EVENTS